Hi, Any plans to realse in Cran binaries for R base & packages, for Windows using 64bit, now that the AMD 64 is coming out? It seems a perfect match for cost effective high performane number crunching?? Many thanks, Alex Gracian
R compiled under windows 64 bit???
3 messages · Alex Gracian, Uwe Ligges, Peter Dalgaard
Alex Gracian wrote:
Hi, Any plans to realse in Cran binaries for R base & packages, for Windows using 64bit, now that the AMD 64 is coming out?
No plans, AFAIK. Are you volunteering to compile R base (there may be need for some adjustments in the code, as well as in the Makefiles) for CRAN? The maintainer would need both, an AMD 64 machine, and a 64-bit Windows in order to compile. I'm volunteering to make the packages, if you'll buy an AMD 64 machine + 64-bit Windows for my office. ;-)
It seems a perfect match for cost effective high performane number crunching??
I don't know whether it will be much faster to use the 64bit mode, because the internal structure of x86 processors for number crunching already has been 80 bit for floating point arithmetics. Additionally, you will need more RAM for the same problems which slows down some calculations. In principle, you can extend the 2GB limit of the R process, though. Uwe Ligges
Many thanks, Alex Gracian
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Uwe Ligges <ligges@statistik.uni-dortmund.de> writes:
Alex Gracian wrote:
Hi, Any plans to realse in Cran binaries for R base & packages, for Windows using 64bit, now that the AMD 64 is coming out?
No plans, AFAIK. Are you volunteering to compile R base (there may be need for some adjustments in the code, as well as in the Makefiles) for CRAN? The maintainer would need both, an AMD 64 machine, and a 64-bit Windows in order to compile. I'm volunteering to make the packages, if you'll buy an AMD 64 machine + 64-bit Windows for my office. ;-)
You may regret that statement, once you realize that you also need the entire 64bit toolchain...
It seems a perfect match for cost effective high performane number crunching??
I don't know whether it will be much faster to use the 64bit mode, because the internal structure of x86 processors for number crunching already has been 80 bit for floating point arithmetics. Additionally, you will need more RAM for the same problems which slows down some calculations. In principle, you can extend the 2GB limit of the R process, though.
Yes. And we do actually bump into that when we try to do something sufficiently "stupid". Recent case: attempting to fit a polr() to weekly data for 2500 persons for one year each, including 2500 person levels, giving a design matrix of ~2.5GB. Some times you do want to try that sort of thing by brute force and ignorance (of course, raising the memory limit might just have revealed further obstacles...) I would say that the perfect match currently is the SuSE Linux product for AMD-64. I don't think people quite realize how much extra work goes into maintaining the Windows platform (about as much as the Unix/Linux variants combined, I'd say), and we basically only do it because of its market penetration.
O__ ---- Peter Dalgaard Blegdamsvej 3 c/ /'_ --- Dept. of Biostatistics 2200 Cph. N (*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918 ~~~~~~~~~~ - (p.dalgaard@biostat.ku.dk) FAX: (+45) 35327907